Photo
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Node Classification | Photo | Mean Accuracy96.67 | 374 | |
| Node Classification | Photo | Accuracy95.84 | 254 | |
| Node Classification | Photo | Accuracy97.66 | 153 | |
| Node classification | Photo (test) | Mean Accuracy96.13 | 125 | |
| Graph Anomaly Detection | Photo | AUROC75.95 | 46 | |
| Node Classification | Photo | AUC99.59 | 38 | |
| Continual Graph Learning | Photo | Accuracy98.07 | 33 | |
| Graph Anomaly Detection | Photo (test) | AUPRC28.93 | 31 | |
| Node Classification | Photo 1-shot (test) | Accuracy67.6 | 30 | |
| Community Detection | Photo | Avg Detected Communities231.4 | 27 | |
| Edge Unlearning | Photo hard | ToU83.62 | 26 | |
| Node classification | Photo | Accuracy94.2 | 20 | |
| Node Classification | Photo | Micro-F195.48 | 20 | |
| Class Incremental Learning (CIL) | Photo 10-shot (test) | Average Accuracy84.68 | 19 | |
| Graph Clustering | Photo | NMI70.8 | 19 | |
| Anomaly Detection | photo zero-shot (test) | AUROC76.1 | 19 | |
| Link Prediction | Photo (test) | AP98.08 | 19 | |
| Link Prediction | Photo | AUC-ROC98.4 | 19 | |
| Hyperedge Prediction | Photo | Accuracy72.56 | 15 | |
| node classification | Photo | Macro-F140.9 | 14 | |
| Graph Classification | Photo | Accuracy65.42 | 13 | |
| Medical Image Analysis | Photo 2 tasks | Average Performance88.1 | 13 | |
| Node Classification | Photo standard (test) | Accuracy88.63 | 13 | |
| Node Classification | Photo | Energy1.273 | 13 | |
| Anomaly Detection | Photo | AUROC72.67 | 12 |
Showing 25 of 60 rows